Combination of electromagnetic field and harris hawks optimization algorithms with optimization to optimization structure and its application for optimum power flow

dc.authoridakdağ, ozan/0000-0001-8163-8898
dc.authoridakdag, ozan/0000-0001-8163-8898
dc.authoridakdag, ozan/0000-0001-8163-8898
dc.authoridakdag, ozan/0000-0001-8163-8898
dc.authoridATES, Abdullah/0000-0002-4236-6794
dc.authorwosidakdağ, ozan/GOH-3170-2022
dc.authorwosidakdag, ozan/KIC-8784-2024
dc.authorwosidakdag, ozan/KNM-5436-2024
dc.authorwosidakdag, ozan/KIC-9241-2024
dc.authorwosidATES, Abdullah/V-6929-2018
dc.contributor.authorAkpamukcu, Mehmet
dc.contributor.authorAtes, Abdullah
dc.contributor.authorAkdag, Ozan
dc.date.accessioned2024-08-04T20:54:36Z
dc.date.available2024-08-04T20:54:36Z
dc.date.issued2023
dc.departmentİnönü Üniversitesien_US
dc.description.abstractElectromagnetic Field Optimization (EFO) and Harris Hawk Optimization (HHO) algorithms are combined with the optimization to optimization (OtoO) approach, and the EFO-HHO algorithm pair is presented in this study. EFO method was used as the essential algorithm and HHO method was used as the auxiliary algorithm according to the OtoO structure. The constant parameters (R_rate, Ps_rate, P_field, N_field) of the EFO algorithm that affect the optimization performance are optimized with the HHO optimization algorithm for the related optimization problem. The proposed method was tested on 10 different benchmark functions according to different dimensional (30, 50100). The EFO-HHO algorithm pair can produce better results than the existing literature, especially in cases of increased dimension with the proposed approach. In addition to these, the OPF problem was tested on the IEEE 30 test bus system for the engineering application of the proposed method. The results are compared with the existing literature results. As it can be seen from the results, it has been shown on the real engineering problem that the optimization performance can be increased with the OtoO approach without changing the basic philosophy of the EFO algorithm.en_US
dc.identifier.doi10.1080/02533839.2023.2238759
dc.identifier.endpage765en_US
dc.identifier.issn0253-3839
dc.identifier.issn2158-7299
dc.identifier.issue7en_US
dc.identifier.scopus2-s2.0-85166621132en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage754en_US
dc.identifier.urihttps://doi.org/10.1080/02533839.2023.2238759
dc.identifier.urihttps://hdl.handle.net/11616/101497
dc.identifier.volume46en_US
dc.identifier.wosWOS:001042119400001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofJournal of The Chinese Institute of Engineersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectKuoen_US
dc.subjectCheng-Chienen_US
dc.subject>en_US
dc.subjectOptimization to optimizationen_US
dc.subjectEFOen_US
dc.subjectHHOen_US
dc.subjectOPFen_US
dc.subjectbenchmarken_US
dc.titleCombination of electromagnetic field and harris hawks optimization algorithms with optimization to optimization structure and its application for optimum power flowen_US
dc.typeArticleen_US

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